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Indicator: Happiness

Data and Data Discussion provided by Sustainable Seattle

Figure 1: Mean Happiness in U.S., 1980 - 2006

Figure 2: Mean Life Satisfaction Relative to National GDP Per Capita

Sustainability Snapshot:

People tend to be happy when they have good health, close and supportive relationships, meaningful work, and a sense of personal worth which comes from having important goals that derive from one's values and making progress toward those goals. Research also shows that getting richer does not necessarily make us happier, especially if we judge our worth by comparing what we have to what others have. (1) In short, happiness can not be explained by economic factors alone. This goes against the standard economics belief that equates higher consumption levels with greater happiness.

Sustainability Trend:

Seattle ranked 45 out of 185 cities surveyed for emotional health in 2008. In 2009, Seattle ranked 83 out of 185 cities in emotional health. Seattle ranked 39 out 185 for Life Evaluation in 2008 and 35 in 2009.

Data Discussion

The Indicator Defined

Happiness is measured by an average of Life Evaluation and Emotional Health. Happiness researchers distinguish between two "components" of happiness: emotional happiness (how much we enjoy life - or emotional health) and cognitive happiness (how content we are - or life evaluation),

Data Interpretation/Evaluation

Happiness for this indicator is measured by Gallup-Healthways Well-Being Index surveying life evaluation and emotional health. It does not the measure for the Gross National Happiness product, which measures wellbeing among 9 domains. The Gallup-Healthway Well-Being index provides an in-depth, real time view of well being among americans.

Gallup's Well-Being Index is an average of six sub-indexes: Life Evaluation, Physical Health, Emotional Health, Healthy Behavior, Work Environment, and Basic Access.  Happiness is measured by an average of Life Evaluation and Emotional Health.  Happiness researchers distinguish between two "components" of happiness: emotional happiness (how much we enjoy life - or emotional health) and cognitive happiness (how content we are - or life evaluation),   The same person might answer questions touching on the two different aspects with different scores.  For example, you might feel that you are pretty satisfied with what you have in life but not always able to enjoy it,  The Emotional Health index includes smiling or laughter, learning or doing something interesting, being treated with respect, enjoyment, happiness, worry, sadness, anger, stress and diagnosis of depression. Life evaluation includes a self evaluation of present life situation and anticipaed life situation five years from now.

In Life Evaluation, Washington State residents rank 11th out of the 50 states. In Emotional Health, Washington State residents rank 20th out of 50 states.

In 2009, Washington State was 20th among the 50 states in Emotional Health and 11th in Life Evaluation.  Althought the overall well being has declined in the state, the  life evaluation rate slioghly increased since 2008. 

Figure 1, the Mean Happiness graph, shows the trend in happiness levels for the years 1980 to 2006.  The data for this graph is a synthesis of survey results which ask both how happy people are (e.g., “In general, how happy would you say you are?”) and how satisfied they are (e.g., “How satisfied are you with the life you lead?”).  The data on the U.S. from 1946 to 1980 shows a downward trend in happiness, while the series from 1980 to 2006 shows a rising trend. 

Based on the same source data, the U.S. is 17th in the ranking of 95 countries by their average happiness from 1995 to 2005.  The scores went from a low of Tanzania (3.2) to a high of 8.2 (Denmark) on a scale of 0 to 10.  The US scored 7.4. (Data not shown) This ranking is consistent with research by the Gallup organization.  Although the U.S. is the second most wealthy county in terms of GDP per capita, its citizens are not among the most satisfied. 

The graph compares Mean Life Satisfaction for different countries.  The survey asked respondents to rate their lives on a scale from 0 ("the worst possible life") to 10 ("the best possible life").  The principal researcher, Angus Deaton from Princeton, observes that "life satisfaction" and "happiness" are not synonyms.  As interpreted by Dr. Deaton, Figure 2 shows: 

In the graph, each circle is a country, with diameter proportional to population. The horizontal axis is national per-capita GDP in 2003 (the nearest year for which there is complete data) measured in purchasing power parity (PPP) dollars at 2000 prices, while the vertical axis is a country's average life-satisfaction rating. Most of the countries of sub-Saharan Africa are on the bottom left, India and China are the two large circles near the left, the western European countries appear near the upper right, and the United States is the large country on the top right. 

As the graph indicates, life satisfaction is higher in countries with higher GDP per head. The slope is steepest among the poorest countries, where income gains are associated with the largest increases in life satisfaction, but it remains positive and substantial even among the rich countries. 

Data Source and Limitations

Data for this indicator was compiled by Sustainable Seattle from the research cited below. 

Primary data for Figure 1, Mean Happiness in U.S., 1980 – 2006 comes from the World Database of Happiness (Veenhoven, Ruut. World Database of Happiness, Distributional Findings in Nations, Erasmus University Rotterdam.  Available at: www.worlddatabaseofhappiness.eur.nl ). Additional information on data selection, abstraction and classification can be found at the World Database website.  The graph was produced by the World Values Survey.   For additional graphs, go to http://margaux.grandvinum.se/SebTest/wvs/articles/folder_published/article_base_106

Figure 2, Mean Life Satisfaction Relative to National GDP per Capita, is based on data from the Gallup World Poll (www.gallup.com/consulting/worldpoll/24046/qbout.aspx). 

 

 

 

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